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- Simon_model abstract "In applied probability theory, the Simon model is a class of stochastic models that results in a power-law distribution function. It was proposed by Herbert A. Simon to account for the wide range of empirical distributions following a power-law. It models the dynamics of a system of elements with associated counters (e.g., words and their frequencies in texts, or nodes in a network and their connectivity ). In this model the dynamics of the system is based on constant growth via addition of new elements (new instances of words) as well as incrementing the counters (new occurrences of a word) at a rate proportional to their current values.".
- Simon_model wikiPageExternalLink Graph_Spectra.
- Simon_model wikiPageID "8378107".
- Simon_model wikiPageRevisionID "580093519".
- Simon_model hasPhotoCollection Simon_model.
- Simon_model subject Category:Power_laws.
- Simon_model type Abstraction100002137.
- Simon_model type Cognition100023271.
- Simon_model type Concept105835747.
- Simon_model type Content105809192.
- Simon_model type Idea105833840.
- Simon_model type Law105872982.
- Simon_model type PowerLaw105996110.
- Simon_model type PowerLaws.
- Simon_model type PsychologicalFeature100023100.
- Simon_model comment "In applied probability theory, the Simon model is a class of stochastic models that results in a power-law distribution function. It was proposed by Herbert A. Simon to account for the wide range of empirical distributions following a power-law. It models the dynamics of a system of elements with associated counters (e.g., words and their frequencies in texts, or nodes in a network and their connectivity ).".
- Simon_model label "Simon model".
- Simon_model sameAs m.0271bw9.
- Simon_model sameAs Q7520135.
- Simon_model sameAs Q7520135.
- Simon_model sameAs Simon_model.
- Simon_model wasDerivedFrom Simon_model?oldid=580093519.
- Simon_model isPrimaryTopicOf Simon_model.